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Application of a Modified Generative Adversarial Network in the Superresolution Reconstruction of Ancient Murals

Considering the problems of low resolution and rough details in existing mural images, this paper proposes a superresolution reconstruction algorithm for enhancing artistic mural images, thereby optimizing mural images. The algorithm takes a generative adversarial network (GAN) as the framework. Fir...

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Detalles Bibliográficos
Autores principales:	Cao, Jianfang, Zhang, Zibang, Zhao, Aidi
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2020
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7785340/ https://www.ncbi.nlm.nih.gov/pubmed/33456451 http://dx.doi.org/10.1155/2020/6670976

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